We ran a live session on why websites are invisible in AI search: the takeaways (and how Toku hit 86%)

The takeaways from our live session on why B2B sites go invisible in AI search, and how Toku reached 86% share of answer on its core buyer prompt.

The short answer

We hosted a live session on why most B2B websites are invisible in AI search, with speakers from Webflow and Toku: why AI skips most sites, the 3-step audit to fix it, and how Toku reached 86% AI-search visibility (position 2.4) on its core buyer prompt, measured across a 30-day share-of-answer window.

On this page
  1. What the session was about
  2. Why is my website invisible in AI search?
  3. How is AI search different from SEO?
  4. The 3-step audit we walked through
  5. The case study we shared live: Toku, 0 to 86%
  6. The biggest takeaways from the session
  7. Watch the full session and get your audit
  8. Frequently Asked Questions

What the session was about

Buyers now ask ChatGPT, Perplexity, and Google's AI Overviews before they ever reach a page of blue links. And AI names a handful of brands, not a list of ten. So we ran a live session on why most B2B websites are invisible to AI, and what to do about it. LoudFace hosted, and speakers from Webflow (the platform and build side) and Toku (a company that lived the shift) joined us. Here's what we covered.

Most sites are built and written for old-school search. AI reads and cites pages differently, so ranking #1 on Google no longer means you're in the AI answer. Three things usually cause the invisibility: crawlability (a robots.txt that blocks AI bots), weak content structure, and a thin trail of citations and signals pointing back to you.

How is AI search different from SEO?

As we discussed live: SEO optimizes to rank a page. AEO (answer engine optimization) optimizes to be the citation inside the answer. Different signals, different structure. Most teams haven't adjusted for it yet, which is exactly why the gap is winnable right now.

Diagram of how AI models crawl a site, read its structure, and choose which sources to cite.

The 3-step audit we walked through

Step 1: Make sure AI can reach you (robots.txt)

Check whether your robots.txt blocks AI crawlers. On Webflow it's a quick fix. If the bots can't crawl the page, nothing else you do matters.

Step 2: Structure content around real buyer questions

Lead with a clear TL;DR, then use H2s phrased as the exact questions buyers ask (for example, "What are the best stablecoin payroll providers?"), and answer them succinctly right up top. Vague headings that don't match how people actually ask get skipped.

Step 3: Build citations and signals

Add schema markup so AI recognizes you as a credible source (Google's structured-data guidelines are the reference), and earn references where AI already pulls from: G2, Reddit, industry roundups.

robots.txt configured to allow AI crawlers to access key pages.
Example page with an H2 phrased as the exact question buyers search for.

The case study we shared live: Toku, 0 to 86%

Toku started effectively invisible on its core buyer prompts. The same principles we walked through, unblocking AI bots, restructuring content around buyer questions, and building citations, are the framework behind its turnaround. That work sits on top of a longer engagement (a 2024 site foundation and an ongoing growth program), and in a recent 30-day measurement window Toku appeared in 86% of AI answers on its core stablecoin-payroll prompt, at an average position of 2.4, sampled across Google AI Overviews, ChatGPT, Perplexity, and more. The full numbers and the timeline are in the Toku case study.

Chart showing Toku's AI search visibility rising from 0% to 86% after the three-step audit.

The biggest takeaways from the session

Watch the full session and get your audit

Watch the full recording above, then run your free AI Visibility Audit. We run your brand through ChatGPT, Perplexity, and Google AI Overviews and send a personalized report on where you stand against competitors.

FAQ

Frequently asked questions

Answers to the questions readers ask most about this topic.

Does ranking on Google mean I'll show up in ChatGPT?

No. Ranking and being cited are different signals. You can rank #1 on Google and still be absent from the AI answer.

Do I need developers for this?

Some of it a marketing team can handle on its own. The platform underneath makes it easier or harder, which is why the build matters.

How long does it take?

It compounds over weeks to months. The quick wins (robots.txt, restructuring your top pages) land fast, and citations and authority build from there.

Can I measure AI visibility?

Yes. That's exactly what our free audit does, across ChatGPT, Perplexity, and Google AI Overviews.

Written by
Arnel Bukva
Arnel Bukva
Founder & Head of Growth

Arnel Bukva is the founder of LoudFace, a B2B SaaS organic growth agency that ships AEO (Answer Engine Optimization), SEO, and Webflow programmes for Series A to C companies. His work focuses on AI-cited content systems that move pipeline rather than vanity traffic, with named client outcomes including Toku (86% Peec share-of-answer on the stablecoin payroll prompt) and TradeMomentum (~10x organic impressions). One of the earliest Webflow users (2017), he has spent the past several years at the intersection of technical SEO and AI search, building the prompt-graph methodology LoudFace uses across every client engagement.

On the record
Published
Jul 16, 2026
Reading time
4 min read
LoudFace — strategy callB2B SaaS only

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